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https://hdl.handle.net/2440/69813
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Type: | Journal article |
Title: | Intelligent control of a nonlinear tank reactor |
Author: | Mohammadzaheri, M. Chen, L. |
Citation: | Asian Journal of Control, 2011; 13(3):439-444 |
Publisher: | Wiley-Blackwell Publishing, Inc. |
Issue Date: | 2011 |
ISSN: | 1561-8625 1934-6093 |
Statement of Responsibility: | Morteza Mohammadzaheri and Lei Chen |
Abstract: | In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) is addressed. Control command is the sum of two components: steady state and transient commands. A fuzzy controller generates a transient control command that pushes the system towards the setpoint. A steady state control command is generated to maintain the steady state situation at the setpoint (based on the concept of 'control equilibrium point'). For comparison, a case study was also controlled by the neuro-predictive algorithm. The studied CSTR is known as a good example of a neuro-predictive control application; however, the newly proposed hybrid intelligent method leads to much better setpoint tracking as well as less change in control command (which is very important in implementation of the control system). |
Keywords: | Fuzzy steady state control transient control CSTR. |
Rights: | Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society |
DOI: | 10.1002/asjc.347 |
Published version: | http://dx.doi.org/10.1002/asjc.347 |
Appears in Collections: | Aurora harvest Mechanical Engineering publications |
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